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Dinas PC, Nintou E, Vliora M, Pravednikova AE, Sakellariou P, Witkowicz A, Kachaev ZM, Kerchev VV, Larina SN, Cotton J, Kowalska A, Gkiata P, Bargiota A, Khachatryan ZA, Hovhannisyan AA, Antonosyan MA, Margaryan S, Partyka A, Bogdanski P, Szulinska M, Kregielska-Narozna M, Czepczyński R, Ruchała M, Tomkiewicz A, Yepiskoposyan L, Karabon L, Shidlovskii Y, Metsios GS, Flouris AD. Prevalence of uncoupling protein one genetic polymorphisms and their relationship with cardiovascular and metabolic health. PLoS One 2022; 17:e0266386. [PMID: 35482655 PMCID: PMC9049362 DOI: 10.1371/journal.pone.0266386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 03/18/2022] [Indexed: 11/18/2022] Open
Abstract
Contribution of UCP1 single nucleotide polymorphisms (SNPs) to susceptibility for cardiometabolic pathologies (CMP) and their involvement in specific risk factors for these conditions varies across populations. We tested whether UCP1 SNPs A-3826G, A-1766G, Ala64Thr and A-112C are associated with common CMP and their risk factors across Armenia, Greece, Poland, Russia and United Kingdom. This case-control study included genotyping of these SNPs, from 2,283 Caucasians. Results were extended via systematic review and meta-analysis. In Armenia, GA genotype and A allele of Ala64Thr displayed ~2-fold higher risk for CMP compared to GG genotype and G allele, respectively (p<0.05). In Greece, A allele of Ala64Thr decreased risk of CMP by 39%. Healthy individuals with A-3826G GG genotype and carriers of mutant allele of A-112C and Ala64Thr had higher body mass index compared to those carrying other alleles. In healthy Polish, higher waist-to-hip ratio (WHR) was observed in heterozygotes A-3826G compared to AA homozygotes. Heterozygosity of A-112C and Ala64Thr SNPs was related to lower WHR in CMP individuals compared to wild type homozygotes (p<0.05). Meta-analysis showed no statistically significant odds-ratios across our SNPs (p>0.05). Concluding, the studied SNPs could be associated with the most common CMP and their risk factors in some populations.
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Affiliation(s)
- Petros C. Dinas
- FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
- Faculty of Education Health and Wellbeing, University of Wolverhampton, Walsall, West Midlands, United Kingdom
| | - Eleni Nintou
- FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
| | - Maria Vliora
- FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
| | - Anna E. Pravednikova
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- Department of Biology and General Genetics, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Paraskevi Sakellariou
- FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
| | - Agata Witkowicz
- L. Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wrocław, Poland
| | - Zaur M. Kachaev
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
| | - Victor V. Kerchev
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- Department of Biology and General Genetics, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Svetlana N. Larina
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- Department of Biology and General Genetics, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - James Cotton
- Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, United Kingdom
| | - Anna Kowalska
- Institute of Human Genetics, Polish Academy of Sciences, Poznań, Poland
| | - Paraskevi Gkiata
- FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
| | - Alexandra Bargiota
- Department of Endocrinology and Metabolic Diseases, Medical School, Larissa University Hospital, University of Thessaly, Larissa, Greece
| | - Zaruhi A. Khachatryan
- Institute of Molecular Biology, National Academy of Sciences of the Republic of Armenia, Yerevan, Armenia
| | - Anahit A. Hovhannisyan
- Institute of Molecular Biology, National Academy of Sciences of the Republic of Armenia, Yerevan, Armenia
| | - Mariya A. Antonosyan
- Institute of Molecular Biology, National Academy of Sciences of the Republic of Armenia, Yerevan, Armenia
| | - Sona Margaryan
- Institute of Molecular Biology, National Academy of Sciences of the Republic of Armenia, Yerevan, Armenia
| | - Anna Partyka
- L. Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wrocław, Poland
| | - Pawel Bogdanski
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, Poznań, Poland
| | - Monika Szulinska
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, Poznań, Poland
| | - Matylda Kregielska-Narozna
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, Poznań, Poland
| | - Rafał Czepczyński
- Department of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, Poznań, Poland
| | - Marek Ruchała
- Department of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, Poznań, Poland
| | - Anna Tomkiewicz
- L. Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wrocław, Poland
| | - Levon Yepiskoposyan
- Department of Bioengineering, Bioinformatics and Molecular Biology, Russian-Armenian University, Yerevan, Armenia
| | - Lidia Karabon
- L. Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wrocław, Poland
| | - Yulii Shidlovskii
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- Department of Biology and General Genetics, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - George S. Metsios
- Department of Nutrition and Dietetics, School of Physical Education, Sport Science and Dietetics, University of Thessaly, Trikala, Greece
| | - Andreas D. Flouris
- FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
- * E-mail:
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Pravednikova AE, Shevchenko SY, Kerchev VV, Skhirtladze MR, Larina SN, Kachaev ZM, Egorov AD, Shidlovskii YV. Association of uncoupling protein (Ucp) gene polymorphisms with cardiometabolic diseases. Mol Med 2020; 26:51. [PMID: 32450815 PMCID: PMC7249395 DOI: 10.1186/s10020-020-00180-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 05/11/2020] [Indexed: 12/23/2022] Open
Abstract
The hereditary aspect of obesity is a major focus of modern medical genetics. The genetic background is known to determine a higher-than-average prevalence of obesity in certain regions, like Oceania. There is evidence that dysfunction of brown adipose tissue (BAT) may be a risk factor for obesity and type 2 diabetes (T2D). A significant number of studies in the field focus on the UCP family. The Ucp genes code for electron transport carriers. UCP1 (thermogenin) is the most abundant protein of the UCP superfamily and is expressed in BAT, contributing to its capability of generating heat. Single nucleotide polymorphisms (SNPs) of Ucp1-Ucp3 were recently associated with risk of cardiometabolic diseases. This review covers the main Ucp SNPs A-3826G, A-1766G, A-112C, Met229Leu, Ala64Thr (Ucp1), Ala55Val, G-866A (Ucp2), and C-55 T (Ucp3), which may be associated with the development of obesity, disturbance in lipid metabolism, T2D, and cardiovascular diseases.
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Affiliation(s)
- Anna E. Pravednikova
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Sergey Y. Shevchenko
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
| | - Victor V. Kerchev
- I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Manana R. Skhirtladze
- I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Svetlana N. Larina
- I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Zaur M. Kachaev
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
| | - Alexander D. Egorov
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
| | - Yulii V. Shidlovskii
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, Russia
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Dong C, Lv Y, Xie L, Yang R, Chen L, Zhang L, Long T, Yang H, Mao X, Fan Q, Chen X, Zhang H. Association of UCP1 polymorphisms with type 2 diabetes mellitus and their interaction with physical activity and sedentary behavior. Gene 2020; 739:144497. [PMID: 32088243 DOI: 10.1016/j.gene.2020.144497] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 01/10/2020] [Accepted: 02/19/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Uncoupling protein 1 (UCP1) has been reported to be associated with type 2 diabetes mellitus (T2DM) in different populations, however, little is reported in Chinese population. The present study aimed to explore the association between some polymorphisms of UCP1 with T2DM and the interactions between UCP1 and physical activity/sedentary behavior (PA/SB) lifestyle in Chinese population. METHODS Three polymorphisms (rs1472268, rs3811790 and rs3811791) were genotyped in 929 T2DM patients and 1044 nondiabetic controls. The data of PA and SB were acquired. Logistic regression and linear regression were conducted to assess the association of UCP1 and T2DM and related traits. RESULTS The CC genotype of rs3811791 was significantly associated with an increased risk of T2DM [odds ratio (OR) = 1.42, P = 0.042] and a higher level of triglyceride (TG) (β = 0.048, P = 0.034). This association still existed in the group of SB ≥ 3 h/d (OR = 1.66, P = 0.009) and the group of PA ≥ 150 min/week and SB ≥ 3 h/d (OR = 1.60, P = 0.034). In the group of PA < 150 min/week and SB < 3h/d, CC genotype was associated with a higher level of homeostatic model assessment of insulin resistance (HOMA-IR) index, and in the group of PA < 150 min/week and SB ≥ 3 h/d, CC genotype was associated with increased level of TG and decreased high-density lipoprotein cholesterol (HDL-C). CONCLUSION This study suggests that rs3811791 of UCP1 may be associated with T2DM and TG. Moreover, we demonstrate that SB interacted with rs3811791 of UCP1 was associated with T2DM, and PA interacted with rs3811791 of UCP1 was associated with the level of HOMA-IR, HDL-C, and TG.
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Affiliation(s)
- Chunting Dong
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Yingnan Lv
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Lianguang Xie
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Rongqing Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Lulin Chen
- Third Affiliated Hospital of Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Lulu Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Tianzhu Long
- First Affiliated Hospital of Hainan Medical University, Haikou 570102, People's Republic of China
| | - Haisheng Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Xingning Mao
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Qiuyu Fan
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Xiaolang Chen
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Haiying Zhang
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, People's Republic of China.
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Jin P, Li Z, Xu X, He J, Chen J, Xu X, Du X, Bai X, Zhang B, He X, Lu L, Zhu J, Shi Y, Zou H. Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population. BMC MEDICAL GENETICS 2020; 21:25. [PMID: 32028915 PMCID: PMC7006419 DOI: 10.1186/s12881-020-0956-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 01/20/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND The aim of this study was to explore the association between diabetic retinopathy (DR) and the variants of uncoupling proteins (UCPs) genes in a Chinese population of type 2 diabetes, in total and in patients of different glycemic status separately. METHODS This case-control study included a total of 3107 participants from two datasets, among which 662 were DR patients (21.31%). Eighteen tag single nucleotide polymorphisms (SNPs) of UCP1, UCP2, and UCP3 were selected as genetic markers. TaqMan probes, Sequenom MassARRAY MALDI-TOF mass spectrometry platform and Affymetrix Genome-Wide Human SNP Array were used for genotyping. Online SHEsis software was used for association analysis. Bonferroni correction was used for multiple comparisons correction. RESULTS Three SNPs of UCP1: rs7688743 (A allele, OR = 1.192, p = 0.013), rs3811787 (T allele, OR = 0.863, p = 0.023), and rs10011540 (G allele, OR = 1.368, p = 0.004) showed association with DR after the adjustment of glucose, but only rs10011540 was marginally significantly associated with DR when Bonferroni correction was strictly applied (padj = 0.048). In patients with uncontrolled glucose, rs7688743 (A allele, p = 0.012, OR = 1.309), rs10011540 (G allele, p = 0.033, OR = 1.432), and rs3811787 (T allele, p = 0.022, OR = 0.811) were associated with DR, while in participants with well controlled glucose, the rs2734827 of UCP3 was associated with DR (A allele, p = 0.017, OR = 0.532). Rs3811787 of UCP1 showed a protective effect to sight threatening DR (T allele, p = 0.007, OR = 0.490), and the association existed after the adjustment for environmental factors and the correction. In patients with uncontrolled glucose, the rs3811787 of UCP1 (T allele, p = 0.017, OR = 0.467) and the rs591758 of UCP3 (C allele, p = 0.026, OR = 0.103) were associated with STDR. While in those with well controlled glucose, only the rs7688743 of UCP1 showed a protective effect (A allele, p = 0.024, OR = 0.049). None of the associations remain significant when Bonferroni correction was strictly applied (all p < 0.05). CONCLUSIONS The rs10011540 and rs3811787 of the UCP1 gene was marginally significantly associated with DR in Chinese type 2 diabetes patients. There might be different mechanisms of DR development in patients with different glycemic status.
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Affiliation(s)
- Peiyao Jin
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine (originally named"Shanghai First People's Hospital"), Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, National Clinical Research Center for Eye Diseases, No.100 Haining Road, Shanghai, 20080, China
| | - Zhiqiang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Xian Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine (originally named"Shanghai First People's Hospital"), Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, National Clinical Research Center for Eye Diseases, No.100 Haining Road, Shanghai, 20080, China
| | - Jiangnan He
- Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, 200040, China
| | - Jianhua Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Xun Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine (originally named"Shanghai First People's Hospital"), Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, National Clinical Research Center for Eye Diseases, No.100 Haining Road, Shanghai, 20080, China.,Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, 200040, China
| | - Xuan Du
- Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, 200040, China
| | - Xuelin Bai
- Xinjing Community Health Service Centre, Shanghai, 200335, China
| | - Bo Zhang
- Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, 200040, China
| | - Xiangui He
- Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, 200040, China
| | - Lina Lu
- Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, 200040, China
| | - Jianfeng Zhu
- Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, 200040, China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Haidong Zou
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine (originally named"Shanghai First People's Hospital"), Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, National Clinical Research Center for Eye Diseases, No.100 Haining Road, Shanghai, 20080, China. .,Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, 200040, China.
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Brondani LA, Assmann TS, de Souza BM, Bouças AP, Canani LH, Crispim D. Meta-analysis reveals the association of common variants in the uncoupling protein (UCP) 1-3 genes with body mass index variability. PLoS One 2014; 9:e96411. [PMID: 24804925 PMCID: PMC4013025 DOI: 10.1371/journal.pone.0096411] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Accepted: 04/05/2014] [Indexed: 12/19/2022] Open
Abstract
Background The relationship between uncoupling protein (UCP) 1–3 polymorphisms and susceptibility to obesity has been investigated in several genetic studies. However, the impact of these polymorphisms on obesity is still under debate, with contradictory results being reported. Until this date, no meta-analysis evaluated the association of UCP polymorphisms with body mass index (BMI) variability. Thus, this paper describe a meta-analysis conducted to evaluate if the -3826A/G (UCP1); -866G/A, Ala55Val and Ins/Del (UCP2) and -55C/T (UCP3) polymorphisms are associated with BMI changes. Methods A literature search was run to identify all studies that investigated associations between UCP1-3 polymorphisms and BMI. Weighted mean differences (WMD) were calculated for different inheritance models. Results Fifty-six studies were eligible for inclusion in the meta-analysis. Meta-analysis results showed that UCP2 55Val/Val genotype was associated with increased BMI in Europeans [Random Effect Model (REM) WMD 0.81, 95% CI 0.20, 1.41]. Moreover, the UCP2 Ins allele and UCP3-55T/T genotype were associated with increased BMI in Asians [REM WMD 0.46, 95% CI 0.09, 0.83 and Fixed Effect Model (FEM) WMD 1.63, 95% CI 0.25, 3.01]. However, a decreased BMI mean was observed for the UCP2-866 A allele in Europeans under a dominant model of inheritance (REM WMD −0.18, 95% CI −0.35, −0.01). There was no significant association of the UCP1-3826A/G polymorphism with BMI mean differences. Conclusions The meta-analysis detected a significant association between the UCP2-866G/A, Ins/Del, Ala55Val and UCP3-55C/T polymorphisms and BMI mean differences.
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Affiliation(s)
- Letícia A. Brondani
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences, Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Tais S. Assmann
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences, Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Bianca M. de Souza
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences, Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Ana P. Bouças
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences, Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Luis H. Canani
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences, Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Daisy Crispim
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences, Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- * E-mail:
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Brondani LDA, Assmann TS, Duarte GCK, Gross JL, Canani LH, Crispim D. The role of the uncoupling protein 1 (UCP1) on the development of obesity and type 2 diabetes mellitus. ACTA ACUST UNITED AC 2013; 56:215-25. [PMID: 22790465 DOI: 10.1590/s0004-27302012000400001] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2012] [Accepted: 06/10/2012] [Indexed: 12/19/2022]
Abstract
It is well established that genetic factors play an important role in the development of both type 2 diabetes mellitus (DM2) and obesity, and that genetically susceptible subjects can develop these metabolic diseases after being exposed to environmental risk factors. Therefore, great efforts have been made to identify genes associated with DM2 and/or obesity. Uncoupling protein 1 (UCP1) is mainly expressed in brown adipose tissue, and acts in thermogenesis, regulation of energy expenditure, and protection against oxidative stress. All these mechanisms are associated with the pathogenesis of DM2 and obesity. Hence, UCP1 is a candidate gene for the development of these disorders. Indeed, several studies have reported that polymorphisms -3826A/G, -1766A/G and -112A/C in the promoter region, Ala64Thr in exon 2 and Met299Leu in exon 5 of UCP1 gene are possibly associated with obesity and/or DM2. However, results are still controversial in different populations. Thus, the aim of this study was to review the role of UCP1 in the development of these metabolic diseases.
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Affiliation(s)
- Letícia de Almeida Brondani
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, RS, Brazil
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Labruna G, Pasanisi F, Fortunato G, Nardelli C, Finelli C, Farinaro E, Contaldo F, Sacchetti L. Sequence Analysis of the UCP1 Gene in a Severe Obese Population from Southern Italy. J Obes 2011; 2011:269043. [PMID: 21773003 PMCID: PMC3136174 DOI: 10.1155/2011/269043] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2010] [Accepted: 04/08/2011] [Indexed: 02/07/2023] Open
Abstract
Brown adipose tissue, where Uncoupling Protein 1 (UCP1) activity uncouples mitochondrial respiration, is an important site of facultative energy expenditure. This tissue may normally function to prevent obesity. Our aim was to investigate by sequence analysis the presence of UCP1 gene variations that may be associated with obesity. We studied 100 severe obese adults (BMI > 40 kg/m(2)) and 100 normal-weight control subjects (BMI range = 19-24.9 kg/m(2)). We identified 7 variations in the promoter region, 4 in the intronic region and 4 in the exonic region. Globally, 72% of obese patients bore UCP1 polymorphisms. Among UCP1 variants, g.IVS4-208T>G SNP was associated with obesity (OR: 1.77; 95% CI = 1.26-2.50; P = .001). Further, obese patients bearing the g.-451C>T (CT+TT) or the g.940G>A (GA+AA) genotypes showed a higher BMI than not polymorphic obese patients (P = .008 and P = .043, resp.). In conclusion, UCP1 SNPs could represent "thrifty" factors that promote energy storage in prone subjects.
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Affiliation(s)
- Giuseppe Labruna
- Fondazione IRCCS SDN, Istituto di Ricerca Diagnostica e Nucleare, Via Gianturco 113, 80143 Naples, Italy
| | - Fabrizio Pasanisi
- Centro Interuniversitario di Studi e Ricerche sull'Obesità e Dipartimento di Medicina Clinica e Sperimentale, Università degli Studi di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Giuliana Fortunato
- CEINGE Biotecnologie Avanzate S.C. a R.L., Via Gaetano Salvatore 486, 80145, Naples, Italy
- Dipartimento di Biochimica e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Via Pansini 5, Via Pansini 5, 80131 Naples, Italy
| | - Carmela Nardelli
- CEINGE Biotecnologie Avanzate S.C. a R.L., Via Gaetano Salvatore 486, 80145, Naples, Italy
- Dipartimento di Biochimica e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Via Pansini 5, Via Pansini 5, 80131 Naples, Italy
| | - Carmine Finelli
- Fondazione Stella Maris Mediterraneo, Centro Disturbi del Comportamento Alimentare e del Peso “G. Gioia”, Chiaromonte, C/da S. Lucia, 85100, Chiaromonte, Potenza, Italy
| | - Eduardo Farinaro
- Dipartimento di Scienze Mediche Preventive, Università degli Studi di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Franco Contaldo
- Centro Interuniversitario di Studi e Ricerche sull'Obesità e Dipartimento di Medicina Clinica e Sperimentale, Università degli Studi di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy
| | - Lucia Sacchetti
- CEINGE Biotecnologie Avanzate S.C. a R.L., Via Gaetano Salvatore 486, 80145, Naples, Italy
- Dipartimento di Biochimica e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Via Pansini 5, Via Pansini 5, 80131 Naples, Italy
- *Lucia Sacchetti:
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Kuroki Y, Kaji H, Kawano S, Kanda F, Takai Y, Kajikawa M, Sugimoto T. Prospective short-term effects of glucocorticoid treatment on glucose and lipid metabolism in Japanese. Intern Med 2010; 49:897-902. [PMID: 20467173 DOI: 10.2169/internalmedicine.49.3161] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Glucocorticoid (GC) causes various metabolic abnormalities; however, few prospective studies have examined the changes in glucose and lipid metabolism in newly GC-treated patients. METHODS AND PATIENTS The present study was therefore performed to analyze markers of glucose and lipid metabolism on days 0, 3, 7, 14, 28 and at month 3 of treatment in patients starting GC therapy. Then, we analyzed the relationships between the changes in these parameters and the initial dose of prednisolone (PSL), separating groups into different regimens by the GC dose. RESULTS The fasting plasma glucose (FPG) level transiently increased on day 3 of PSL administration but was restored by day 7. The immunoreactive insulin (IRI) level and HOMA-R transiently increased on day 3 and then fell, although remaining significantly higher than each basal level by day 7. A transient elevation in FPG level on day 3 was observed only in groups with a PSL dose >or=40 mg. On the other hand, total cholesterol and low-density lipoprotein cholesterol levels increased on day 3 of PSL administration and similar levels were maintained after day 7. High density-lipoprotein cholesterol levels were significantly increased on day 3; subsequently then gradually increased from days 3 to day 28. Triglyceride levels did not change during treatment. No relationship was apparent between the GC dose and the changes in each lipid parameter. CONCLUSION GC treatment induced changes in FPG, IRI, LDL-CHOL and HDL-CHOL levels from day 3 after start of GC. The dose of GC seemed to influence glucose metabolism, but not lipid metabolism.
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Affiliation(s)
- Yasuo Kuroki
- Internal Medicine, Kobe Century Memorial Hospital
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The polymorphisms of UCP1 genes associated with fat metabolism, obesity and diabetes. Mol Biol Rep 2009; 37:1513-22. [PMID: 19444646 DOI: 10.1007/s11033-009-9550-2] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2008] [Accepted: 04/30/2009] [Indexed: 10/20/2022]
Abstract
Uncoupling protein 1 (UCP1), a 32-kDa protein located in the inner mitochondrial membrane, is abundant in brown adipose tissue, as a proton transporter in mitochondria inner membrane which uncouples oxidative metabolism from ATP synthesis and dissipates energy through the heat. UCP1 has been reported to play important roles for energy homeostasis in rodents and neonate of larger mammals including human. Recently, numerous candidate genes were searched to determine the genetic factors implicated in the pathogenesis of obesity, related metabolic disorders and diabetes. UCP-1, which plays a major role in thermogenesis, was suggested to be one of the candidates. This review summarizes data supporting the existence of brown adipocytes and the role of UCP1 in energy dissipation in adult humans, and the genetic variety association with the fat metabolism, obesity and diabetes.
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Lee HJ, Ryu HJ, Shin HD, Park BL, Kim JY, Cho YM, Park KS, Song J, Oh B. Associations between polymorphisms in the mitochondrial uncoupling proteins (UCPs) with T2DM. Clin Chim Acta 2008; 398:27-33. [PMID: 18755175 DOI: 10.1016/j.cca.2008.07.029] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2008] [Revised: 06/27/2008] [Accepted: 07/31/2008] [Indexed: 10/21/2022]
Abstract
BACKGROUND Mitochondrial uncoupling proteins (UCPs) are considered pivotal regulators of energy and glucose homeostasis. We examined the effect of 23 single nucleotide polymorphisms (SNPs) in the UCP genes on type 2 diabetes mellitus (T2DM) and related phenotypes to identify genetic factors that may be involved in susceptibility to T2DM. METHODS We directly sequenced the coding region, portions of the 5'- and 3'-flanking sequences, and the intron-exon boundaries of the UCP genes from 24 individuals. We genotyped 23 SNPs in 761 unrelated patients with T2DM and 632 unrelated non-diabetic control subjects and investigated their potential involvement in T2DM. RESULTS We identified association between T2DM and the following 3 SNPs in UCP2: UCP2 -5331G>A (P=0.018, odds ratio (OR)=1.38, 95% CI (confidence interval)=1.06-1.79), UCP2 -3998C>G (P=0.021, OR=1.37, 95% CI=1.05-1.78), and UCP2 +320C>T (P=0.019, OR=0.73, 95% CI=0.57-0.95). There was strong linkage disequilibrium (LD) among these 3 SNPs (r2=0.94-0.97). UCP2 -5331G>A is a regulatory SNP (rSNP), and its association with T2DM was significant among obese or abdominally obese subjects (P=0.017, OR=1.78, 95% CI=1.11-2.85; P=0.004, OR=1.82, 95% CI=1.21-2.74; respectively). UCP3 -2078C>T of UCP3 SNPs was associated with T2DM only among women (P=0.026, OR=0.71, 95% CI=0.52-0.96). Patients with combinations of the rSNPs UCP2 -5331G>A and UCP3 -2078C>T displayed an increased risk for T2DM. Specifically, those patients homozygous for both rSNPs among susceptible alleles had a higher risk for T2DM than patients heterozygous for one rSNP and homozygous for the other rSNP (P=0.033, OR=1.38, 95% CI=1.03-1.85). This association was more obvious in women (P=0.022, OR=1.58, 95% CI=1.07-2.34). CONCLUSIONS Our results suggest that the UCP2 -5331G>A and UCP3 -2078C>T polymorphisms are susceptibility markers for T2DM among Koreans.
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Affiliation(s)
- Hye-Ja Lee
- Division of Metabolic Disease, Center for Biomedical Sciences, National Institute of Health, 5 Nokbun-dong, Eunpyung-gu, Seoul, 122-701, Republic of Korea
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Hirota Y, Ohara T, Zenibayashi M, Kuno SI, Fukuyama K, Teranishi T, Kouyama K, Miyake K, Maeda E, Kasuga M. Lack of association of CPT1A polymorphisms or haplotypes on hepatic lipid content or insulin resistance in Japanese individuals with type 2 diabetes mellitus. Metabolism 2007; 56:656-61. [PMID: 17445541 DOI: 10.1016/j.metabol.2006.12.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2006] [Accepted: 12/18/2006] [Indexed: 10/23/2022]
Abstract
Accumulation of fat in the liver is associated with insulin resistance and type 2 diabetes mellitus. The carnitine palmitoyltransferase (CPT) enzyme system facilitates the transport of long-chain fatty acids into mitochondria, and the gene for the hepatic isoform of CPT1 (CPT1A) is a candidate gene for metabolic disorders such as insulin resistance associated with fatty liver. We have now investigated the contribution of the CPT1A locus to hepatic lipid content (HLC), insulin resistance, and susceptibility to type 2 diabetes mellitus. A total of 324 type 2 diabetic patients and 300 nondiabetic individuals were enrolled in the study. Eighty-seven of the type 2 diabetic patients who had not been treated with insulin or lipid-lowering drugs were evaluated by homeostasis model assessment for insulin resistance and were subjected to nuclear magnetic resonance for determination of HLC. A total of 19 single nucleotide polymorphisms (SNPs) were identified at the CPT1A locus, and linkage disequilibrium analysis revealed a strong linkage disequilibrium block between SNP8 (intron 5) and SNP17 (intron 14). Neither haplotypes nor SNPs of CPT1A were found to be associated either with susceptibility to type 2 diabetes mellitus or with HLC or insulin resistance in type 2 diabetic patients.
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Affiliation(s)
- Yushi Hirota
- Division of Diabetes and Digestive and Kidney Diseases, Department of Clinical Molecular Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
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